İlerleyen Tür Sansür Altında Lognormal ve Weibull Dağılımlarının Ayrımı
Bu çalışmada, log-normal ve weibull dağılımları arasında ayırım için en çok olabilirlik oran ve Kullback- Leibler uzaklık metotları tartışılmıştır. Çalışmada, ilerleyen tür sansürlü veri durumu ele alınmıştır. Doğru seçim oranları hesaplanmış ve farklı parametre ve sansür şemaları altında testlerin performansları karşılaştırılmıştır.
Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring
In this paper, the ratio of maximized likelihood and Minimized Kullback-Leibler Divergencemethods are discussed for discrimination between log-normal and Weibull distributions. The progressive Type-II right censored sample is considered in the study. The probability of correct selections is simulated andcompared to investigate the performance of the procedures for different censoring schemes and parametersettings.
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